Medical Image Segmentation On Lits2017
Metriken
Dice
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Dice | Paper Title | Repository |
|---|---|---|---|
| UNet 3+ w/o DS | 0.9580 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation | |
| UNet 3+ | 0.9675 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation |
0 of 2 row(s) selected.